Eliminating Temporal Illumination Variations in Whisk-broom Hyperspectral Imaging
We propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for acquiring a spatial measurement using a pixel-based hyperspectral sensor. However, when it is applied to outdoor cultural heritages, temporal...
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| Published in: | International journal of computer vision Vol. 130; no. 5; pp. 1310 - 1324 |
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| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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New York
Springer US
01.05.2022
Springer Springer Nature B.V Springer Verlag |
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| ISSN: | 0920-5691, 1573-1405 |
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| Abstract | We propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for acquiring a spatial measurement using a pixel-based hyperspectral sensor. However, when it is applied to outdoor cultural heritages, temporal illumination variations become an issue due to the lengthy measurement time. As a result, the incoming illumination spectra vary across the measured image locations because different locations are measured at different times. To overcome this problem, in addition to the standard raster scan, we propose an additional perpendicular scan that traverses the raster scan. We show that this additional scan allows us to infer the illumination variations over the raster scan. Furthermore, the sparse structure in the illumination spectrum is exploited to robustly eliminate these variations. We quantitatively show that a hyperspectral image captured under sunlight is indeed affected by temporal illumination variations, that a Naïve mitigation method suffers from severe artifacts, and that the proposed method can robustly eliminate the illumination variations. Finally, we demonstrate the usefulness of the proposed method by capturing historic stained-glass windows of a French cathedral. |
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| AbstractList | We propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for acquiring a spatial measurement using a pixel-based hyperspectral sensor. However, when it is applied to outdoor cultural heritages, temporal illumination variations become an issue due to the lengthy measurement time. As a result, the incoming illumination spectra vary across the measured image locations because different locations are measured at different times. To overcome this problem, in addition to the standard raster scan, we propose an additional perpendicular scan that traverses the raster scan. We show that this additional scan allows us to infer the illumination variations over the raster scan. Furthermore, the sparse structure in the illumination spectrum is exploited to robustly eliminate these variations. We quantitatively show that a hyperspectral image captured under sunlight is indeed affected by temporal illumination variations, that a Naïve mitigation method suffers from severe artifacts, and that the proposed method can robustly eliminate the illumination variations. Finally, we demonstrate the usefulness of the proposed method by capturing historic stained-glass windows of a French cathedral. |
| Audience | Academic |
| Author | Caron, Guillaume Tanaka, Kenichiro Mukaigawa, Yasuhiro Kubo, Hiroyuki Mouaddib, El Mustapha Funatomi, Takuya Ogawa, Takehiro Matsushita, Yasuyuki |
| Author_xml | – sequence: 1 givenname: Takuya orcidid: 0000-0001-5588-5932 surname: Funatomi fullname: Funatomi, Takuya email: funatomi@is.naist.jp organization: Graduate School of Science and Technology, Nara Institute of Science and Technology – sequence: 2 givenname: Takehiro surname: Ogawa fullname: Ogawa, Takehiro organization: Graduate School of Science and Technology, Nara Institute of Science and Technology – sequence: 3 givenname: Kenichiro orcidid: 0000-0003-2318-2276 surname: Tanaka fullname: Tanaka, Kenichiro organization: College of Information Science and Engineering, Ritsumeikan University – sequence: 4 givenname: Hiroyuki surname: Kubo fullname: Kubo, Hiroyuki organization: Graduate School of Science and Engineering, Chiba University – sequence: 5 givenname: Guillaume surname: Caron fullname: Caron, Guillaume organization: MIS Laboratory, University of Picardie Jules Verne, CNRS-AIST JRL, IRL – sequence: 6 givenname: El Mustapha surname: Mouaddib fullname: Mouaddib, El Mustapha organization: MIS Laboratory, University of Picardie Jules Verne – sequence: 7 givenname: Yasuyuki surname: Matsushita fullname: Matsushita, Yasuyuki organization: Graduate School of Information Science and Technology, Osaka University – sequence: 8 givenname: Yasuhiro surname: Mukaigawa fullname: Mukaigawa, Yasuhiro organization: Graduate School of Science and Technology, Nara Institute of Science and Technology |
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| Keywords | Low-rank approximation Computational photography Varying illumination Hyperspectral imaging |
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| SubjectTerms | Artificial Intelligence Cathedrals Computer Imaging Computer Science Computer Vision and Pattern Recognition Hyperspectral imaging Illumination Image Processing and Computer Vision Infrared radiation Pattern Recognition Pattern Recognition and Graphics Raster Raster scanning Scanning devices Sensors Special Issue on Computer Vision for Cultural Heritage Vision |
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| Title | Eliminating Temporal Illumination Variations in Whisk-broom Hyperspectral Imaging |
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